Observed impact of skin substitutes in lower extremity diabetic ulcers: lessons from the Medicare Database (2015-2018).

OBJECTIVE: To evaluate large propensity-matched cohorts to assess outcomes in patients receiving advanced treatment (AT) with skin substitutes for lower extremity diabetic ulcers (LEDUs) versus no AT (NAT) for the management of LEDUs. METHOD: The Medicare Limited Dataset (1 October 2015 through 2 October 2018) were used to retrospectively analyse people receiving care for a LEDU treated with AT or NAT (propensity-matched Group 1). Analysis included major and minor amputations, emergency department (ED) visits and hospital readmissions. In addition, AT following parameters for use (FPFU) was compared with AT not FPFU (propensity-matched Group 2). A paired t-test was used for comparisons of the two groups. For comparisons of three groups, the Kruskal-Wallis test was used. A Bonferroni correction was performed when multiple comparisons were calculated. RESULTS: There were 9,738,760 patients with a diagnosis of diabetes, of whom 909,813 had a LEDU. In propensity-matched Group 1 (12,676 episodes per cohort), AT patients had statistically fewer minor amputations (p=0.0367), major amputations (p<0.0001), ED visits (p<0.0001), and readmissions (p<0.0001) compared with NAT patients. In propensity-matched Group 2 (1131 episodes per cohort), AT FPFU patients had fewer minor amputations (p=0.002) than those in the AT not FPFU group. CONCLUSION: AT for the management of LEDUs was associated with significant reductions in major and minor amputation, ED use, and hospital readmission compared with LEDUs managed with NAT. Clinics should implement AT in accordance with the highlighted parameters for use to improve outcomes and reduce costs.

Assessment of medical management outcomes in small populations.

Small sample size represents a vexing problem in evaluating medical management programs. Physician practices may have panel sizes of only 1000 total patients, disease management programs may enroll only several hundred patients, and hospitals may see only several dozen of a particular type of case per year. Given the high variation that occurs in the presentation, severity, and cost of medical conditions, estimation of either quality impact or economic return on investment can be difficult or impossible. This paper seeks to describe common approaches to this issue that are in practice within the industry today and to discuss limitations, alternative strategies, and consequences of method choices. A number of strategies exist to deal with this situation, but ongoing recognition of this issue in the planning phases of initiatives remains problematic. Significant linkage of financial rewards or penalties to poorly evaluated programs carries significant liabilities for the unsophisticated developers of such systems.